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. 2018 Dec 14;12(12):e0006938.
doi: 10.1371/journal.pntd.0006938. eCollection 2018 Dec.

Economic impact of dengue in Mexico considering reported cases for 2012 to 2016

Affiliations

Economic impact of dengue in Mexico considering reported cases for 2012 to 2016

Adriana Zubieta-Zavala et al. PLoS Negl Trop Dis. .

Abstract

Background: Given that dengue disease is growing and may progress to dengue hemorrhagic fever (DHF), data on economic cost and disease burden are important. However, data for Mexico are limited.

Methodology/principal findings: Burden of dengue fever (DF) and DHF in Mexico was assessed using official databases for epidemiological information, disabilities weights from Shepard et al, the reported number of cases and deaths, and costs. Overall costs of dengue were summed from direct medical costs to the health system, cost of dengue to the patient (out-of-pocket expenses [medical and non-medical], indirect costs [loss of earnings, patient and/or caregiver]), and other government expenditures on prevention/surveillance. The first three components, calculated as costs per case by a micro-costing approach (PAATI; program, actions, activities, tasks, inputs), were scaled up to overall cost using epidemiology data from official databases. PAATI was used to calculate cost of vector control and prevention, education, and epidemiological surveillance, based on an expert consensus and normative construction of an ideal scenario. Disability-adjusted life years (DALYs) for Mexico in 2016 were calculated to be 2283.46 (1.87 per 100,000 inhabitants). Overall economic impact of dengue in Mexico for 2012 was US$144 million, of which US$44 million corresponded to direct medical costs and US$5 million to the costs from the patient's perspective. The estimated cost of prevention/surveillance was calculated with information provided by federal government to be US$95 million. The overall economic impact of DF and DHF showed an increase in 2013 to US$161 million and a decrease to US$133, US$131 and US$130 million in 2014, 2015 and 2016, respectively.

Conclusions/significance: The medical and economic impact of dengue were in agreement with other international studies, and highlight the need to include governmental expenditure for prevention/surveillance in overall cost analyses given the high economic impact of these, increasing the necessity to evaluate its effectiveness.

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Conflict of interest statement

I have read the journal’s policy and the authors of this manuscript have the following competing interests: JRC is member of the Scientific Advisory Board on Dengue Vaccine from Sanofi Pasteur and has received honoraria for their participation. JRC has also received funding for scientific research from Sanofi Pasteur. JGLY is an employee of Sanofi Pasteur. This does not alter our adherence to all PLOS policies on sharing data and materials.

Figures

Fig 1
Fig 1. General scheme of PAATI.
Fig 2
Fig 2. Overview of epidemiological PAATI.
Fig 3
Fig 3. Comparison DALYs for DF, DHF and total in 2016 by age group without (A) and with (B) expansion factors.
Fig 4
Fig 4. Comparison DALYs per 100,000 inhabitants for DF, DHF and total in 2016 by age group without (A) and with (B) expansion factors.

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